针对现有图像分割模型对光照敏感，提出一种新的基于区域的主动轮廓线模型。

This paper proposes a new region-based active contour for existing images segmentation model to light-sensitive.

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主动轮廓线模型引入高层知识，在处理局部间断的边缘时，具有优于传统轮廓提取方法的提取效果。

With the introduction of high level information, Snake model has more satisfactory effects than what gained by the traditional method when dealing with disconnected edges in the image.

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几何主动轮廓线模型是一种有效的图像分割方法。但对于被噪声严重干扰的目标依然很难准确分割。

Geodesic active contour is a useful image segmentation method, but it may fail to segment the objects disturbed by complex noises.

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